메뉴 건너뛰기




Volumn , Issue , 2013, Pages 301-306

Rough set based feature selection: A review

Author keywords

Feature selection; Machine learning; Rough set

Indexed keywords

CLASSIFICATION ACCURACY; DATA MINING AND KNOWLEDGE DISCOVERY; DECISION SYSTEMS; MATHEMATICAL FOUNDATIONS; ROUGH-SET BASED;

EID: 84888612731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IKT.2013.6620083     Document Type: Conference Paper
Times cited : (25)

References (49)
  • 6
    • 72449177821 scopus 로고    scopus 로고
    • A rough set approach to feature selection based on ant colony optimization
    • Chen, Y., Miao, D., & Wang, R. (2010). A rough set approach to feature selection based on ant colony optimization. Pattern Recognition Letters, 226-233.
    • (2010) Pattern Recognition Letters , pp. 226-233
    • Chen, Y.1    Miao, D.2    Wang, R.3
  • 7
    • 43749097693 scopus 로고    scopus 로고
    • A combination of rough-based feature selection and RBF neural network for classication using
    • Chiang, J.-H., & Ho, S.-H. (2008). A Combination of Rough-Based Feature Selection and RBF Neural Network for Classication Using. IEEE TRANSACTIONS ON NANOBIOSCIENCE, 91-99.
    • (2008) IEEE Transactions on Nanobioscience , pp. 91-99
    • Chiang, J.-H.1    Ho, S.-H.2
  • 9
    • 0038667021 scopus 로고
    • Putting rough sets and fuzzy sets together
    • Dubois, D., & Prade, H. (1992). Putting rough sets and fuzzy sets together. Slowinski, 203-232.
    • (1992) Slowinski , pp. 203-232
    • Dubois, D.1    Prade, H.2
  • 10
    • 57049180269 scopus 로고    scopus 로고
    • Feature selection based on the rough set theory and expectation- maximization clustering algorithm
    • Fazayeli, F., Wang, L., & Mandziuk, J. (2008). Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. Rough Sets and Current Trends in Computing, (pp. 272-282).
    • (2008) Rough Sets and Current Trends in Computing , pp. 272-282
    • Fazayeli, F.1    Wang, L.2    Mandziuk, J.3
  • 13
    • 38249027581 scopus 로고
    • Quotient with respect to similarity relations
    • Hohle, U. (1988). Quotient with respect to similarity relations. Fuzzy Sets and Systems, 27, 31-44.
    • (1988) Fuzzy Sets and Systems , vol.27 , pp. 31-44
    • Hohle, U.1
  • 15
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature subset selection
    • Hu, Q., Yu, D., Liu, J., & Wu, C. (2008). Neighborhood rough set based heterogeneous feature subset selection. Information Sciences, 3577-3594.
    • (2008) Information Sciences , pp. 3577-3594
    • Hu, Q.1    Yu, D.2    Liu, J.3    Wu, C.4
  • 17
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • Jensen, R., & Shen, Q. (2004). Fuzzy-Rough Attribute Reduction with Application to Web Categorization. Fuzzy Sets and Systems, 469-485.
    • (2004) Fuzzy Sets and Systems , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 19
    • 43249111682 scopus 로고    scopus 로고
    • An efficient ant colony optimization approach to attribute reduction in rough set theory
    • Ke, L., Feng, Z., & Ren, Z. (2008). An efficient ant colony optimization approach to attribute reduction in rough set theory. Pattern Recognition Letters, 1351-1357.
    • (2008) Pattern Recognition Letters , pp. 1351-1357
    • Ke, L.1    Feng, Z.2    Ren, Z.3
  • 22
    • 4544306553 scopus 로고    scopus 로고
    • A rough sets based approach to feature selection
    • Zhang, M., & Yao, J.T. (2004). A Rough Sets Based Approach to Feature Selection. Fuzzy Information, (pp. 434-439).
    • (2004) Fuzzy Information , pp. 434-439
    • Zhang, M.1    Yao, J.T.2
  • 24
    • 58249084603 scopus 로고    scopus 로고
    • Exploring the boundary region of tolerance rough sets for feature selection
    • Parthaláin, N. M., & Shen, Q. (2009). Exploring the boundary region of tolerance rough sets for feature selection. Pattern Recognition, 655-667.
    • (2009) Pattern Recognition , pp. 655-667
    • Parthaláin, N.M.1    Shen, Q.2
  • 27
    • 77951118185 scopus 로고    scopus 로고
    • Positive approximation: An accelerator for attribute reduction in rough set theory
    • Qian, Y., Liang, J., Pedrycz, W., & Dang, C. (2010). Positive approximation: An accelerator for attribute reduction in rough set theory. Artificial Intelligence, 597-618.
    • (2010) Artificial Intelligence , pp. 597-618
    • Qian, Y.1    Liang, J.2    Pedrycz, W.3    Dang, C.4
  • 28
    • 0036498107 scopus 로고    scopus 로고
    • A comparative study on fuzzy-rough sets
    • Radzikowska, A., & Kerre, E. (2002). A comparative study on Fuzzy-Rough sets. Fuzzy Sets Systems, 126, 137-155.
    • (2002) Fuzzy Sets Systems , vol.126 , pp. 137-155
    • Radzikowska, A.1    Kerre, E.2
  • 29
    • 2442528339 scopus 로고    scopus 로고
    • Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
    • Shen, Q., & Jensen, R. (2004). Selecting informative features with Fuzzy-Rough sets and its application for complex systems monitoring. Pattern Recognition, 37, 1351-1363.
    • (2004) Pattern Recognition , vol.37 , pp. 1351-1363
    • Shen, Q.1    Jensen, R.2
  • 30
    • 79953272930 scopus 로고    scopus 로고
    • A novel rough set reduct algorithm for medical domain based on bee colony
    • Suguna, N., & Thanushkodi, K. (2010). A Novel Rough Set Reduct Algorithm for Medical Domain Based on Bee Colony. JOURNAL OF COMPUTING, 49-54.
    • (2010) JOURNAL of COMPUTING , pp. 49-54
    • Suguna, N.1    Thanushkodi, K.2
  • 32
    • 0037332841 scopus 로고    scopus 로고
    • Rough set methods in feature selection and recognition
    • Swiniarski, R. W., & Skowron, A. (2003). Rough set methods in feature selection and recognition. Pattern Recognition Letters, 833-849.
    • (2003) Pattern Recognition Letters , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 35
    • 34248343439 scopus 로고    scopus 로고
    • Efficient rough-set-based attribute reduction algorithm with nearest neighbour searching
    • Wang, J., Peng, X.-Y., & Peng, Y. (2007). Efficient rough-set-based attribute reduction algorithm with nearest neighbour searching. ELECTRONICS LETTERS.
    • (2007) Electronics Letters
    • Wang, J.1    Peng, X.-Y.2    Peng, Y.3
  • 36
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • Wang, X., Yang, J., Teng, X., Xia, W., & Jensen, R. (2007). Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters, 459-471.
    • (2007) Pattern Recognition Letters , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 39
    • 38649088943 scopus 로고    scopus 로고
    • A novel condensing tree structure for rough set feature selection
    • Yang, M., & Yang, P. (2008). A novel condensing tree structure for rough set feature selection. Neurocomputing, 1092-1100.
    • (2008) Neurocomputing , pp. 1092-1100
    • Yang, M.1    Yang, P.2
  • 41
    • 45849092954 scopus 로고    scopus 로고
    • Attribute reduction in decision-theoretic rough set models
    • Yao, Y., & Zhao, Y. (2008). Attribute Reduction in Decision-Theoretic Rough Set Models. Information Sciences, 3356-5573.
    • (2008) Information Sciences , pp. 3356-5573
    • Yao, Y.1    Zhao, Y.2
  • 43
  • 44
    • 0016458950 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning
    • Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8, 199-249.
    • (1975) Information Science , vol.8 , pp. 199-249
    • Zadeh, L.1
  • 45
    • 51049105739 scopus 로고    scopus 로고
    • A new method of selection and reduction of system feature in pattern recognition based on rough sets
    • Zeng, H., Yuan, Z., & Zeng, X. (2006). A New Method of Selection and Reduction of System Feature in Pattern Recognition Based on Rough Sets. Journal of Communication and Computer, 25-28.
    • (2006) Journal of Communication and Computer , pp. 25-28
    • Zeng, H.1    Yuan, Z.2    Zeng, X.3
  • 46
    • 0242352585 scopus 로고    scopus 로고
    • A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory
    • Zhang, M., and Xu., L. D., Zhang, W. X., & Li, H.-Z. (2003). A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory. Expert Systems, 298-304.
    • (2003) Expert Systems , pp. 298-304
    • Zhang, M.1    Xu, L.D.2    Zhang, W.X.3    Li, H.-Z.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.